Improvement of M-distinct:Towards Privacy Preserving Re-publication of Dynamic Datasets
Chan Li · Journal of Nanchang University · 2010
M-distinct extension algorithm deals with the data add,delete,update three cases separately.With the introduction of the concept of false record in the delete case,the attacker cannot get the link between insert and delete data.On he other hand,the fact is presented:different attributes of data records in the release have different weights.According to the fact,the introduction of the concept of attribute weights reduces the number of cycles in the assignment and split of the two stages of the algorithm to improve the algorithm efficiency.